Quantitative and Qualitative Data and Thematic Analysis Flashcards

1
Q

Analysis of Quantitative Data

A
  • Measures of central tendency.
  • Measures of dispersion.
  • Tables and Graphs.
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2
Q

Mean

A

Add up all values and divide by number of values.

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3
Q

Median

A

Place all values in order and select middle value, if there are two middle values calculate the mean of these two values.

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4
Q

Mode

A

Most common group/s.

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5
Q

Range

A

Arrange data from highest to lowest and subtract lowest from highest.

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6
Q

Standard Deviation

A
  1. Calculate mean of data set.
  2. From each data item (x), subtract the mean from the data item (x-{x}) then square the result.
  3. Add up all new results.
  4. Divide number of values (n) by 1.
  5. Work out Square root.
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7
Q

Quantitative Data

A

Info in numbers

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8
Q

Qualitative Data

A

Info in words or pictures.

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9
Q

+/- of Quantitative

A

+ Easier to analyse as data is in numbers, making it easier to draw conclusions.

  • May not express PP precise thoughts/feelings as answers are fixed. May be low in validity.
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10
Q

+/- of Qualitative

A

+ Represents true complexities of human behaviour, it is a holistic approach.

  • More difficult to detect patterns and draw conclusions because of the large variety of info collected and because words cannot be reduced to a few simple points.
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11
Q

Thematic Analysis

A

Analyse qualitative data.

Data is produced and then themes or categories are identified.

Researcher then goes back through the data where each theme/category is found and might draw out a few examples.

Responses can be organised according to these themes, patterns identified and conclusions drawn.

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12
Q

Grounded Theory

A

Bottom-up technique used when analysing qualitative data.

It is where theoretical explanations emerge during the course of the investigation.

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